Correlation Between Games Workshop and PowerHouse Energy
Can any of the company-specific risk be diversified away by investing in both Games Workshop and PowerHouse Energy at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Games Workshop and PowerHouse Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Games Workshop Group and PowerHouse Energy Group, you can compare the effects of market volatilities on Games Workshop and PowerHouse Energy and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Games Workshop with a short position of PowerHouse Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Games Workshop and PowerHouse Energy.
Diversification Opportunities for Games Workshop and PowerHouse Energy
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Games and PowerHouse is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Games Workshop Group and PowerHouse Energy Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PowerHouse Energy and Games Workshop is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Games Workshop Group are associated (or correlated) with PowerHouse Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PowerHouse Energy has no effect on the direction of Games Workshop i.e., Games Workshop and PowerHouse Energy go up and down completely randomly.
Pair Corralation between Games Workshop and PowerHouse Energy
Assuming the 90 days trading horizon Games Workshop Group is expected to generate 0.25 times more return on investment than PowerHouse Energy. However, Games Workshop Group is 4.04 times less risky than PowerHouse Energy. It trades about 0.09 of its potential returns per unit of risk. PowerHouse Energy Group is currently generating about -0.17 per unit of risk. If you would invest 15,277 in Games Workshop Group on December 30, 2024 and sell it today you would earn a total of 1,413 from holding Games Workshop Group or generate 9.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Games Workshop Group vs. PowerHouse Energy Group
Performance |
Timeline |
Games Workshop Group |
PowerHouse Energy |
Games Workshop and PowerHouse Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Games Workshop and PowerHouse Energy
The main advantage of trading using opposite Games Workshop and PowerHouse Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Games Workshop position performs unexpectedly, PowerHouse Energy can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in PowerHouse Energy will offset losses from the drop in PowerHouse Energy's long position.Games Workshop vs. Waste Management | Games Workshop vs. Coeur Mining | Games Workshop vs. Perdoceo Education | Games Workshop vs. CORNISH METALS INC |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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